About Flutter Entertainment :

Flutter Entertainment is the world's largest sports betting and iGaming operator with 13.9 million Average Monthly Players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including FanDuel, Paddy Power, Betfair, PokerStars, Sisal, and Sportsbet.

Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). We're proud to be recognized by TIME as one of the World's Best Companies 2025 - a reflection of the passion and commitment of our colleagues across the globe.

Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed.

Overview Of The Role :

We are looking for an experienced hands-on Data Engineer to join our Global People Analytics team in Hyderabad. You will play a key role in a time-bound project to implement Databricks across our People data estate. Following launch, you will assist with maintaining and optimising the new Databricks environment, as well as tackling broader data engineering responsibilities within the Global People Analytics team's regular workload, including supporting our Workday and PRISM HR Analytics ecosystem.

As the Analytics function evolves, you will help shape our roadmap through data lead strategies and technology adoption such as GenAI, Tableau, AWS Data Bricks with the People Analytics data foundation being a key enabler.

In addition, we're looking for someone who will find the right balance between maximising security without hindering productivity.

Key Responsibilities :

- Act as a permanent, long-term technical owner for the Databricks platform, ensuring knowledge is retained once contract resources exit.

- Support migration of existing data pipelines/models (e.g. Workday PRISM) into the Databricks environment.

- Post-implementation, maintain, monitor, and optimise Databricks pipelines, and support broader People Analytics data engineering work as it arises.

- Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.

- Write clean, efficient, and well-documented code and ETL/ELT processes.

- Ensure data is dependable, accurate, and delivered in a timely manner.

- Work with information technicians, data scientists, and product managers to understand requirements and deliver actionable data solutions.

- Translate business needs into tangible engineering outcomes.

- Participate in code reviews, sprint planning, Project lifecycles, and retrospectives as part of a Global People Analytics Team.

- Safeguard end-to-end Rested and Transit data levels of security, encryption, and access protocols.

- Monitor data pipelines and solve issues in a timely, systematic manner.

- Evaluate and prototype AI agents and GenAI tools (e.g. LLMs, code generation, automated anomaly detection) to accelerate dashboard development and reduce manual fix overhead.

- Work with data scientists to identify use cases where AI agents can solve data problems at scale (e.g. self-service data quality monitoring, automated root-cause analysis).

- Document patterns, findings, and standard processes around responsible AI use in the data engineering lifecycle, ensuring security, governance and ethical standards are maintained.

- Document data sources, data models, transformations, architecture design, and protocol standards.

- Advocate and ambassador for strong enterprise data adoption, servicing, and ethical use.

- Research new data sources, methodologies, software adoption, and industry standards.

Requirements :

- Minimum 3 years' experience in data engineering, analytics engineering, or software engineering with a focus on data.

- Hands-on experience with Databricks (Lakehouse architecture, Delta Lake, notebooks, workflows) strongly preferred.

- Proven background in Data modelling, methodologies, and security design.

- Strong SQL skills and familiarity with at least one programming language.

- Hand-on and recent experience of Big Data, data warehousing, and ETL/ELT routines and concepts.

- Familiarity with GenAI tools and LLMs (e.g. Claude, Copilot) and curiosity about how they can enhance data workflows.

- Interest in exploring agent-based analytics and automation to solve recurring data problems.

- Prior integration experience with HCM systems is desirable.

- Previous hands-on experience of Workday PRISM preferred.

- Solid attention to detail with a drive for service excellence.

- Oral and written communication skills with the ability to translate technical concepts for non-technical audience and vice versa.

- Excellent problem-solving and critical thinking skills with the ability to solve complex data pipeline activity and performance optimization.

Desirable Qualifications :

- Experience with HR systems (Workday preferred) and understanding of HR data models and business processes.

- Previous experience working with cloud-based data platforms (AWS, GCP, or Azure).

- Tableau and specifically data foundation design vis Server, Pulse etc.

Benefits We Offer :

- Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling.

- Career growth through Internal Mobility Programs.

- Comprehensive Health Insurance for you and dependents.

- Well-Being Fund and 24/7 Assistance Program for holistic wellness.

- Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals.

- Free Meals, Cab Allowance, and a Home Office Setup Allowance.

- Employer PF Contribution, gratuity, Personal Accident & Life Insurance.

- Sharesave Plan to purchase discounted company shares.

- Volunteering Leave and Team Events to build connections.

- Recognition through the Kudos Platform and Referral Rewards.